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This paper presents an efficient approach for identification of a nonlinear Hammerstein model using Bacteria Foraging Optimization (BFO) Algorithm. The accuracy and the efficiency of the proposed BFO based identification scheme have been justified with the optimal value of MSE and the corresponding comparative statistical information. The statistical information of the MSE has also been provided to...
This paper proposes an accurate and efficient approach for identification of a two stage cascaded Hammerstein model using Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO) algorithm. To enhance the computational speed and to avoid the premature convergence criteria, ALC-PSO is used. The accuracy and the precision of the proposed ALC-PSO based identification scheme have been justified...
This paper proposes a new token-based mutual exclusion algorithm for directed graph topology, with or without cycles. In one of our earlier works, we have introduced a token based algorithm assuming an inverted tree topology. Such a stable, hierarchical topology is quite unrealistic for mobile networks due to frequent link failures and node mobility. The proposed solution overcomes this. Besides maintaining...
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